Triple
T20269954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiyero |
E499066
|
entity |
| Predicate | nationalityInFiction |
P15237
|
FINISHED |
| Object |
Vinkun
Vinkun is a fictional nationality and kingdom in the world of Wicked, associated with the character Fiyero.
|
E1419953
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vinkun | Statement: [Fiyero, nationalityInFiction, Vinkun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinkun Context triple: [Fiyero, nationalityInFiction, Vinkun]
-
A.
Vangteh
Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
-
B.
Vingrau
Vingrau is a small commune in southern France’s Pyrénées-Orientales department, known for its wine production and scenic location amid rugged limestone hills.
-
C.
Vigel
Vigel is an electronic dance music producer and DJ known for his work in the progressive and psytrance scenes, including collaborations with acts like Vini Vici.
-
D.
Valkarkay
Valkarkay is a remote Arctic coastal settlement in Russia that served as the landing site for the air rescue of the stranded Chelyuskin expedition in 1934.
-
E.
Vengi
Vengi was an important early medieval city and region in southeastern India that served as a major political and cultural center under the Eastern Chalukya dynasty.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vinkun Triple: [Fiyero, nationalityInFiction, Vinkun]
Generated description
Vinkun is a fictional nationality and kingdom in the world of Wicked, associated with the character Fiyero.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vinkun Target entity description: Vinkun is a fictional nationality and kingdom in the world of Wicked, associated with the character Fiyero.
-
A.
Vangteh
Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
-
B.
Vingrau
Vingrau is a small commune in southern France’s Pyrénées-Orientales department, known for its wine production and scenic location amid rugged limestone hills.
-
C.
Vigel
Vigel is an electronic dance music producer and DJ known for his work in the progressive and psytrance scenes, including collaborations with acts like Vini Vici.
-
D.
Valkarkay
Valkarkay is a remote Arctic coastal settlement in Russia that served as the landing site for the air rescue of the stranded Chelyuskin expedition in 1934.
-
E.
Vengi
Vengi was an important early medieval city and region in southeastern India that served as a major political and cultural center under the Eastern Chalukya dynasty.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dc8e708190b840d687f134c9e8 |
completed | April 20, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08553934dc8190bbfc93d01dbff4a4 |
completed | May 16, 2026, 11:30 a.m. |
| NEDg | Description generation | batch_6a0855b26f0081909c2b74b888e0cd25 |
completed | May 16, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08567e39548190bd201d744e5fa7e9 |
completed | May 16, 2026, 11:35 a.m. |
Created at: April 11, 2026, 11:42 p.m.